Lamha Connector for AI agents.
8 live capabilities
Manage HR operations and delivery logistics through natural conversation
Waiting for input…
Why people use Lamha
Lamha for Simplified HR and Logistics Workflows
With the Lamha MCP, you bring everything into a single conversation. You can ask your agent to pull up a payroll summary for one department and then immediately check the status of your latest delivery orders. It turns a multi-tab headache into a few simple questions, giving you a clear view of your entire operation in one place.
What Vinkius changes
You stop manual data entry and start managing your operations through conversation.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking team availability for a project
An HR manager asks the agent to show all pending leave requests and check the balances for the Engineering team to see who can work.
- Real-world use case 02
Verifying delivery coverage for a new client
A logistics coordinator needs to see if a new city is covered and then create a new delivery order for it using check_city_coverage.
- Real-world use case 03
Quick payroll summary for a department
A manager asks for a payroll summary and employee details for the sales team to review monthly compensation.
Complete set · 8capabilities
The complete Lamha capability set.
These are the exact actions your AI can choose when you ask it to work with Lamha.
01—04
4 capabilities in this set.
Part of 8 available through Lamha.
- 01 Capability
Cancel order
This capability lets you cancel an existing order that needs to be stopped. It helps you handle last-minute changes.
- 02 Capability
Check city coverage
This capability lets you check if a specific city is included in your delivery coverage area. It helps you quickly see where you can ship products.
- 03 Capability
Get order
This capability lets you pull up the specific details for an existing order. It's useful for checking real-time status.
- 04 Capability
List inventory
This capability lets you view your current product inventory across all locations. It helps you keep track of stock levels.
05—08
4 capabilities in this set.
Part of 8 available through Lamha.
- 05 Capability
Create order
This capability lets you create a new logistics order within the Lamha system. You can use it to start a new delivery without manual entry.
- 06 Capability
List carriers
This capability lets you see a full list of available delivery carriers. You can use it to compare your shipping options.
- 07 Capability
List orders
This capability lets you pull a list of all orders currently in the Lamha system. It's a fast way to see your total volume.
- 08 Capability
List warehouses
This capability lets you see a list of all warehouses in your network. Use it to manage your storage locations.
Set up in minutes
One URL. Then ask Lamha to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Lamha from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_kQiyfT4feIO1cJTgoMbpPrYwb8asGvlR7jDk7QWf/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Lamha, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Lamha for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_kQiyfT4feIO1cJTgoMbpPrYwb8asGvlR7jDk7QWf/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Lamha URL.
- Step 03
Save and start
Save the connection and enable Lamha in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"lamha": {
"url": "https://edge.vinkius.com/vk_preview_kQiyfT4feIO1cJTgoMbpPrYwb8asGvlR7jDk7QWf/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Lamha
Open Agent mode in chat and ask: "Using Lamha, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"lamha": {
"url": "https://edge.vinkius.com/vk_preview_kQiyfT4feIO1cJTgoMbpPrYwb8asGvlR7jDk7QWf/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Lamha
Ask Copilot: "Using Lamha, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"lamha": {
"url": "https://edge.vinkius.com/vk_preview_kQiyfT4feIO1cJTgoMbpPrYwb8asGvlR7jDk7QWf/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Lamha
Open Cascade and ask: "Using Lamha, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"lamha": {
"url": "https://edge.vinkius.com/vk_preview_kQiyfT4feIO1cJTgoMbpPrYwb8asGvlR7jDk7QWf/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Lamha
Ask Cline: "Using Lamha, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add lamha --transport http "https://edge.vinkius.com/vk_preview_kQiyfT4feIO1cJTgoMbpPrYwb8asGvlR7jDk7QWf/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Lamha
Ask Claude: "Using Lamha, show me...". 8 tools are ready
Where the request belongs
Work Lamha can move forward.
This Connector is for HR managers who need to answer employee questions faster and logistics coordinators who need to track orders and inventory in real-time without switching apps.
HR Manager
Handles daily employee queries about leave balances and payroll details without opening a browser.
Logistics Coordinator
Checks warehouse stock levels and manages delivery orders via text commands during the shift.
Team Lead
Checks who is currently in the office or on leave to plan daily project tasks.
Warehouse Supervisor
Monitors inventory across multiple locations and verifies carrier availability.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Bring your own AI
Change the model, client or framework. Keep Lamha connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Lamha.
The practical details behind the request, access and result.
Can the Lamha MCP help me manage my team's leave and attendance?
Yes. You can ask your agent to check who is currently clocked in, view pending leave requests, and see how many vacation days employees have left.
How does the Lamha MCP handle payroll for my employees?
It allows you to pull payroll summaries and compensation details for specific departments or teams through simple natural language commands.
Can I use the Lamha MCP to check warehouse inventory?
You can. The Connector connects to your warehouse data so your agent can list current stock levels across all your locations.
Does the Lamha MCP support Middle Eastern dialects?
Yes, it is specifically designed with natural language understanding for Middle Eastern dialects to make it easier for regional teams to use.
Can I create and cancel delivery orders using the Lamha MCP?
Yes, the Connector includes capabilities to create new logistics orders, list all active orders, and cancel them when necessary.
Is the Lamha MCP good for small businesses with multiple locations?
It is ideal for any business needing to manage a workforce and logistics, as it handles department structures, warehouse lists, and carrier info in one place.
Can I track employee attendance and leave?
Yes. Monitor check-in/out records, view attendance summaries, and track leave balances, requests, and approvals for any employee.
How does Lamha authentication work?
Lamha uses a Token header (not Bearer) for authentication against app.lamha.sa/api/v2. This is a custom token format.
Can I browse the organizational structure?
Yes. Navigate departments, teams, and reporting hierarchies within the organization.
One connection away
Give your agent a direct line to Lamha.
Connect Lamha once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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